Translations:Modellkonzept/6/en: Unterschied zwischen den Versionen

Version vom 22. September 2020, 17:15 Uhr

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Nachricht im Original (Modellkonzept)

Je detaillierter die räumliche und zeitliche Diskretisierung betrieben wird, um so mehr Informationen lassen sich über das System selbst gewinnen. Eine möglichst hohe Auflösung eines Systems ist jedoch nicht immer uneingeschränkt von Vorteil, denn eine genauere Betrachtung verlangt mehr Kenngrößen und Parameter, die zum Teil kaum in ausreichender Qualität vorliegen und deshalb nur schwer abzuschätzen sind. So gibt es für jede Aufgabenstellung einen entsprechenden Abstraktionsgrad, der durch zunehmende Anforderungen und besser verfügbaren Eingangsdaten einem Wandel unterliegt.
Die Sammlung der Kenngrößen und Parameter lässt sich unter dem Begriff Systemdatenanalyse vereinen. Die Erhebung der Regel- und Steuerbeziehungen und ihre Umsetzung für die Simulation ist Inhalt der Betriebsanalyse. Aus ihr erwächst eine Art zweite Systemlogik, die nicht Fließbeziehungen sondern die logischen Verknüpfungen der Zustandsgrößen zur Ableitung der Abgabenentscheidungen beinhaltet. Sie kann Steuerlogik genannt werden.

The more detailed you carry out the spatial and temporal discretization, the more information can be gained about the system itself. However, the highest possible resolution of a system does not always provide the best advantage, because a closer examination requires more characteristic values and parameters, some of which are seldonly available in sufficient quality and are therefore difficult to estimate. Thus, there is a suitable degree of abstraction for each task, which can however be subject to change due to increasing requirements and better available input data.

The collection of characteristics and parameters can be described using the term system data analysis. The collection of the control relationships and their implementation for the simulation is called the operational analysis. From the latter, a kind of second system logic arises, which does not contain flow relations but the logical connections of the state variables to derive the output decisions. It can be called control logic.

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-The more detailed the spatial and temporal discretization is operated, the more information can be gained about the system itself. However, the highest possible resolution of a system is not always of unrestricted advantage, because a closer examination requires more characteristic values and parameters, some of which are hardly available in sufficient quality and are therefore difficult to estimate. Thus, there is a corresponding degree of abstraction for each task, which is subject to change due to increasing requirements and better available input data.
+The more detailed you carry out the spatial and temporal discretization, the more information can be gained about the system itself. However, the highest possible resolution of a system does not always provide the best advantage, because a closer examination requires more characteristic values and parameters, some of which are seldonly available in sufficient quality and are therefore difficult to estimate. Thus, there is a suitable degree of abstraction for each task, which can however be subject to change due to increasing requirements and better available input data.
-The collection of characteristics and parameters can be combined under the term system data analysis. The collection of the control relationships and their implementation for the simulation is the content of the operational analysis. From it a kind of second system logic arises, which does not contain flow relations but the logical connections of the state variables to derive the output decisions. It can be called control logic.
+The collection of characteristics and parameters can be described using the term system data analysis. The collection of the control relationships and their implementation for the simulation is called the operational analysis. From the latter, a kind of second system logic arises, which does not contain flow relations but the logical connections of the state variables to derive the output decisions. It can be called control logic.